UA132430U - METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE - Google Patents

METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE

Info

Publication number
UA132430U
UA132430U UAU201809705U UAU201809705U UA132430U UA 132430 U UA132430 U UA 132430U UA U201809705 U UAU201809705 U UA U201809705U UA U201809705 U UAU201809705 U UA U201809705U UA 132430 U UA132430 U UA 132430U
Authority
UA
Ukraine
Prior art keywords
vector
effect
information
learning
artificial intelligence
Prior art date
Application number
UAU201809705U
Other languages
Ukrainian (uk)
Inventor
Олександр Васильович Негодюк
Original Assignee
Олександр Васильович Негодюк
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Олександр Васильович Негодюк filed Critical Олександр Васильович Негодюк
Priority to UAU201809705U priority Critical patent/UA132430U/en
Publication of UA132430U publication Critical patent/UA132430U/en
Priority to PCT/UA2019/000030 priority patent/WO2020068025A1/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation

Abstract

Спосіб роботи системи прийняття складних рішень засобами штучного інтелекту включає процедуру навчання та формування вектора (сигналу) у вигляді кодової послідовності, що являє собою прийняття системою рішення. При цьому системою візуалізують відображення інформаційних даних архітектури про наявність здатності мислення. Як навчання використовують процес машинного навчання. Інформаційні дані джерел інтернет-речей або агреговані та згруповані знання за допомогою системи розміщують на вершині вектора, а їх причинно-наслідкові зв'язки розташовують у просторі до певного часу, коли для маніпуляцій інформацією чи знаннями продукують щоразу новий онтологічний образ, який будують через адитивний ефект флуктуації образів з подовженням межі корисності, за допомогою командного процесора й вершинного шейдера. Крім цього, вершина вектора містить комбінаторику даних про кількість, різницю та їх різновид, з наступною перевіркою надативного ефекту та ергодичності системи. Також фокусують на вершині вектора ефект, принципи та суть рішень на основі латентної сингулярності евристики, яку виявляють за допомогою співставлення тотожних векторів.The way the complex decision-making system uses artificial intelligence involves the procedure of learning and forming a vector (signal) in the form of a code sequence, which is a decision-making system. The system visualizes the display of information information of the architecture of the ability to think. Machine learning is used as learning. The information sources of Internet of Things or aggregated and grouped knowledge are placed on top of the vector with the help of a system, and their cause and effect relationships are placed in space until a certain time when for manipulation of information or knowledge they produce every new ontological image, which is built through additive the effect of fluctuating images with the extension of utility, using a command processor and a vertex shader. In addition, the top of the vector contains a combination of data on the number, difference and their variant, with subsequent verification of the additive effect and ergodicity of the system. They also focus on the top of the vector the effect, principles, and essence of the solutions based on the latent singularity of heuristics, which are revealed by comparing identical vectors.

UAU201809705U 2018-09-27 2018-09-27 METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE UA132430U (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
UAU201809705U UA132430U (en) 2018-09-27 2018-09-27 METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE
PCT/UA2019/000030 WO2020068025A1 (en) 2018-09-27 2019-03-11 A method of operating a system for making difficult decisions using artificial intelligence means

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
UAU201809705U UA132430U (en) 2018-09-27 2018-09-27 METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE

Publications (1)

Publication Number Publication Date
UA132430U true UA132430U (en) 2019-02-25

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
UAU201809705U UA132430U (en) 2018-09-27 2018-09-27 METHOD OF WORK OF THE SYSTEM OF MAKING COMPLEX DECISIONS BY ARTIFICIAL INTELLIGENCE

Country Status (2)

Country Link
UA (1) UA132430U (en)
WO (1) WO2020068025A1 (en)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8290882B2 (en) * 2008-10-09 2012-10-16 Microsoft Corporation Evaluating decision trees on a GPU
WO2014026152A2 (en) * 2012-08-10 2014-02-13 Assurerx Health, Inc. Systems and methods for pharmacogenomic decision support in psychiatry
US11010674B2 (en) * 2015-08-28 2021-05-18 James D. Harlow Axiomatic control of automorphic dynamical systems
US20180121826A1 (en) * 2016-10-28 2018-05-03 Knowm Inc Compositional Learning Through Decision Tree Growth Processes and A Communication Protocol
CN110023962B (en) * 2016-12-22 2024-03-12 英特尔公司 Human experience with efficient transfer of robots and other autonomous machines

Also Published As

Publication number Publication date
WO2020068025A1 (en) 2020-04-02

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